Java Lead Software Engineer

Lead Software EngineerAs a Lead Software Engineer at JPMorgan Chase within the Asset & Wealth Management technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.Job ResponsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problemsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.Set engineering standards and reference architectures across Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Guide deployments to both public and private cloud environments.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Required qualifications, capabilities, and skillsA. Formal training or certification on software engineering concepts and 5+ years applied experience (NAMR/APAC – India/ LATAM – Hong Kong) B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil) C. Singapore follow local country guidanceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in technologies and frameworks—whether it's Java/Spring, JavaScript/TypeScript, SQL, or Kafka. You're hands-on with cloud platforms (internal or AWS) and eager to experiment with modern development stacks.Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practicesProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityIn-depth knowledge of the financial services industry and their IT systems Practical cloud native experiencePreferred qualifications, capabilities, and skillsNice to have any banking or buy-side experience (portfolio management, OMS, trade lifecycle/middle office, risk and controls) that helps translate investment intent into compliant, scalable solutions.